SMEFT deviations
Federico Camponovo, Giampiero Passarino (Turin U., INFN Turin)

TL;DR
This paper investigates the potential deviations from the Standard Model by analyzing a broad, randomly generated set of SMEFT Wilson coefficients, assessing their impact on observables and correlations.
Contribution
It introduces a bottom-up, probabilistic approach to SMEFT, exploring the effects of Wilson coefficient variations on physical observables.
Findings
Quantifies possible deviations from the SM due to SMEFT Wilson coefficients.
Analyzes correlations between different observables in the SMEFT framework.
Provides a probabilistic characterization of SMEFT parameter space.
Abstract
This work is based on a bottom{-}up approach to the standard{-}model effective field theory (SMEFT), resulting in an equiprobable space of Wilson coefficients. The randomly generated Wilson coefficients of the SMEFT (in the Warsaw basis) are treated as pseudo-data and, for each observable, the corresponding probability density function is computed. The goal has been to understand how large are the deviations from the SM once the SMEFT scale and the range of the Wilson coefficients are selected. Correlations between different observables are also discussed.
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Taxonomy
TopicsPhysics of Superconductivity and Magnetism · Climate variability and models · Atmospheric Ozone and Climate
